kmedian/panelctmc

Continuous Time Markov Chain for daily panel data and annual transition probabilities

panelctmc

Continuous Time Markov Chain for daily panel data and annual transition probabilities

Table of Contents

• Installation
• Usage
• Commands
• Support
• Contributing

Installation

The panelctmc git repo is available as PyPi package

pip install panelctmc

Usage

Check the examples folder for notebooks.

Commands

• Check syntax: flake8 --ignore=F401
• Run Unit Tests: python -W ignore -m unittest discover
• Remove .pyc files: find . -type f -name "*.pyc" | xargs rm
• Remove __pycache__ folders: find . -type d -name "__pycache__" | xargs rm -rf
• Upload to PyPi with twine: python setup.py sdist && twine upload -r pypi dist/*

Debugging

• Notebooks to profile python code are in the profile folder

Support

Please open an issue for support.

Contributing

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.

panelctmc's Issues

replace grouplabelencode with something faster

Refactor profiling, remove line_profiler dependency

add Github Action CI workflow

create a unittest with transition matrix estimated with another package/library/tool

add type hints to all functions/methods

https://docs.python.org/3/library/typing.html

check data types (isinstance) of inpute args in panelctmc.panelctmc

panelctmc_func.py line 34 - wrong input arguments - input arguments not propagated

input arguments are not propagated to ctmc function.

line 34 must be

...
 ... datalist, len(mapping) + 1, transintv= transintv, toltime=toltime, debug=debug)
...

keep in mind the 79 character line width for python code

add gitpod badge

[![Gitpod - Code Now](https://img.shields.io/badge/Gitpod-code%20now-blue.svg?longCache=true)](https://gitpod.io#https://github.com/kmedian/panelctmc)

add virtual env howto

https://github.com/kmedian/template_pypi#commands